Hypothesis testing analysis and unknown parameter estimation of GPS signal detection |
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Authors: | Wen Zhang and M Ghogho |
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Affiliation: | [1]College of Opto-Electronic Science and Engineering, National University of Defense Technology, Changsha 410073, China [2]School of Electronic and Electrical Engineering, the University of Leeds, Leeds LS2 9JT, UK |
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Abstract: | Hypothesis testing analysis and unknown parameter estimation of both the intermediate frequency (IF) and baseband GPS signal
detection are given by using the generalized likelihood ratio test (GLRT) approach, applying the model of GPS signal in white
Gaussian noise. It is proved that the test statistic follows central or noncentral F distribution. It is also pointed out that the test statistic is nearly identical to central or noncentral chi-squared distribution
because the processing samples are large enough to be considered as infinite in GPS acquisition problem. It is also proved
that the probability of false alarm, the probability of detection and the threshold are affected largely when the hypothesis
testing refers to the full pseudorandom noise (PRN) code phase and Doppler frequency search space cells instead of each individual
cell. The performance of the test statistic is also given with combining the noncoherent integration. |
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Keywords: | global positioning system (GPS) signal detection parameter estimation generalized likelihood ratio test (GLRT) probability of false alarm probability of detection threshold |
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